Data-Driven Decisions for a Smarter and Resilient Healthcare Service Ecosystem

Covid-19 has emphasized many gaps in complexity management studies in applied grounds. Data have been approached a lot in the last decades. This work aims to analyze how innovative solutions can be designed and proposed in healthcare to manage critical contingencies and may stimulate healthcare system, intended as a service ecosystem, to evolve, adapt, reconfigure, balance itself in terms of making decisions, and then to be resilient at first and viable consequently. The analysis starts from the description of the theoretical background and the definition of an interpretative framework and then proposes a series of illustrative cases on solutions that can stimulate data-driven management processes. This study confirms that data can support decision-makers in addressing the surrounding complexity by making the healthcare service ecosystem smarter and resilient and promoting its renewal. However, data-driven decisions may be considered as drivers for the service ecosystem well-being only when they imply an immediate improvement of patient’s health.